#Regression Algorithms

Data science with python starts focuses on an introduction to Python and Python IDEs, followed by looking at data structures in Python. Then we look at object-oriented programming.

Explore assumption-free prediction intervals for regression algorithms, covering split conformal prediction, CQR, full conformal prediction, and jackknife intervals with practical examples.

Explore Koopman operator theory for dynamical systems, its recent resurgence, and applications like Dynamic Mode Decomposition in this comprehensive overview.